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Stability analysis of a mathematical neuron model

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Abstract

The “second method” of Liapunov is used to perform a stability analysis of a mathematical model of the neuron. This analysis is based on the hypothesis that the firing of the neuron coincides with a temporary state of instability of the system, and that the initiation of all-or-none process depends on the magnitude of membrane depolarization and its first time derivative. It is found that the stability (and hence the possibility of a second firing) is restored approximately when the rate of membrane repolarization is at a maximum. This result predicts that the duration of the period of absolute refractoriness in neurons would be about 75 per cent of the spike duration, and thus shorter than the value usually obtained from experimental measurements.

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Literature

  • Araki, T., M. Ito and T. Oshima. 1961. “Potential Changes Produced by Application of Current Steps in Motoneurons.”Nature,191, 1104–1105.

    Article  Google Scholar 

  • Coombs, J. S., D. R. Curtis and J. C. Eccles. 1957. “The Generation of Impulses in Motoneurons.”J. Physiol.,139, 232–249.

    Google Scholar 

  • Eccles, J. C. 1957.The Physiology of Nerve Cells. Baltimore: The Johns Hopkins Press.

    Google Scholar 

  • FitzHugh, R. 1955. “Mathematical Models of Threshold Phenomena in the Nerve Membrane.”Bull. Math. Biophysics,17, 257–278.

    Google Scholar 

  • Fuortes, M. G. F., K. Frank and M. C. Becker. 1957. “Steps in the Production of Motoneurons Spikes.”J. Gen. Physiol.,40, 735–752.

    Article  Google Scholar 

  • Gibson, J. E., E. S. McVey, C. D. Leedham, Z. V. Rekasius, D. G. Schultz and R. Sridhar. 1961.Stability of Nonlinear Control Systems by the Second Method of Liapunov. Lafayette, Indiana: Purdue School of Electrical Engineering, Report EE 61-5.

    Google Scholar 

  • Hahn, W. 1963.Theory and Application of Liapunov’s Direct Method. Englewood Cliffs, N.J.: Prentice-Hall, Inc.

    Google Scholar 

  • Hodgkin, A. L. and A. F. Huxley. 1952. “A Quantitative Description of Membrane Current and its Application to Conduction and Excitation in Nerve.”J. Physiol.,117, 500–544.

    Google Scholar 

  • LaSalle, J. and S. Lefschetz. 1961.Stability by Liapunov’s Direct Method. New York: Academic Press Inc.

    Google Scholar 

  • Malkin, I. G. 1959.Theory of Stability of Motion (translation from Russian). Washington: Atomic Energy Commission Translation No. 3352.

  • Minorsky, N. 1962.Nonlinear Oscillations. Princeton, N.J.: D. Van Nostrand, Inc.

    MATH  Google Scholar 

  • Roberge, F. A. 1964. “A Neuron Model for the Study of Small Neuron Pools.” Ph.D. Thesis, Department of Electrical Engineering, McGill University, Montreal, Canada.

    Google Scholar 

  • Roberge, F. A. 1965. “On the Measure of Absolute Refractoriness and Action Current in Nerve Cells.”Proc. 18 th Ann. Conf. on Engineering in Med. and Biol., Philadelphia.

  • Roberge, F. A. and J. H. Milsum. 1965. “A Neuron Model for Neuron Network Studies.”Proc. 6 th Intern. Conf. on Med. Electron. Biol. Engineering, Tokyo.

  • ——. 1966. “A Feedback Model of the Neuron for the Study of Small Neuron Networks.”Med. Electron. and Biol. Engineering,4, 357–366.

    Google Scholar 

  • Ruch, T. C. and H. D. Patton. 1965.Physiology and Biophysics. Philadelphia: W. B. Saunders Co.

    Google Scholar 

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Roberge, F.A. Stability analysis of a mathematical neuron model. Bulletin of Mathematical Biophysics 29, 217–226 (1967). https://doi.org/10.1007/BF02476895

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